Naliro Studio
NALIRO STUDIO / in practice

Useful answers. A human way through.

An agent-assisted queue that retrieves approved knowledge, drafts referenced replies and routes uncertain or sensitive requests to people.

ILLUSTRATIVE SCENARIO — NOT A DELIVERED CLIENT PROJECT

BEFORE

The friction.

Support requests repeat across channels while the team searches policies and previous conversations for the right context.

PROPOSED SOFTWARE

A more connected way.

An agent-assisted queue that retrieves approved knowledge, drafts referenced replies and routes uncertain or sensitive requests to people.

AI AGENTS workspaceConceptual interface · sample data
Work itemContextNext step
Delivery questionKnowledge retrievedDraft ready
Policy exceptionHuman escalationNeeds review
Response draftReferences includedNot sent
ILLUSTRATIVE SCOPE
  • Approved knowledge sources and access
  • Request classification and draft replies
  • References, escalation and review
  • Evaluation set, logs and recovery paths
EXPECTED IMPACT — TO BE VALIDATED

Aims to make relevant context easier to find and response drafts easier to review. No promise of full autonomy or elimination of support work.

ILLUSTRATIVE 5-YEAR COST CASE · INR

₹2.5 lakh
less with tailor-made.

This is a planning example, not pricing for this scope or a claim of equivalent features.

Subscription model
₹30,00,000
Tailor-made model
₹27,50,000

20 fixed users × ₹2,500/month; 0% annual seat-price increase. Build ₹6,50,000; monthly support ₹20,000; monthly hosting ₹10,000; annual change budget ₹0; annual third-party fees ₹60,000. All other setup/extras zero; support costs constant. Taxes, migration and change management excluded. No feature-parity assumption.

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